A vehicle surveillance device for an in-vehicle network system that includes one or more electronic control units includes: a frame transmitter and receiver that receives a frame flowing over the in-vehicle network system; and a score calculator that detects a suspicious behavior different from a normal driving behavior based on the frame received by the frame transmitter and receiver and vehicle data including information on one or more frames received by the frame transmitter and receiver prior to receiving the frame, and calculates, based on a detection result, a score indicating a likelihood that reverse engineering has been performed on a vehicle provided with the in-vehicle network system.
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11. The vehicle surveillance device according to claim 1, wherein the score calculator calculates a current score by performing a calculation on an immediately previous score, based on frame time-series data including a frame received most recently by the frame receiver and the one or more frames received by the frame receiver before the most recent frame.
A vehicle surveillance device monitors and analyzes video frames captured by a camera to detect and assess potential security threats. The device includes a frame receiver that continuously captures and processes video frames from the camera. A score calculator evaluates these frames to generate a threat score, which quantifies the likelihood of a security risk. The score calculator updates this score dynamically by incorporating both the most recently received frame and prior frames in the time-series data. This calculation ensures that the threat assessment reflects the latest visual information while maintaining continuity with previous evaluations. The device may also include a threat detector that identifies potential threats in the frames and a score updater that adjusts the threat score based on the detected threats. The system may further include a notification generator that alerts authorities or triggers countermeasures if the threat score exceeds a predefined threshold. This approach enables real-time monitoring and adaptive response to security risks in vehicle environments.
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July 20, 2021
May 28, 2024
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